Evidence map›Paper›PMID 38284111›Full record

ArticleBrain circulation

Identification of brain endothelial cell-specific genes and pathways in ischemic stroke by integrated bioinformatical analysis.

Yi Yan, Zhaohui Wang, Xiao Liu, Song Han, Junfa Li, Ying Zhang, Li Zhao

Abstract read
In one paragraph

Article in Brain circulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Review
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  9. Key immune regulators in retinal ischemia-reperfusion injuryInternational journal of ophthalmology · 2025
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  12. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yi YanDepartment of Neurobiology, Capital Medical University, Beijing, China.
Zhaohui WangDepartment of Neurobiology, Capital Medical University, Beijing, China.
Xiao LiuDepartment of Neurobiology, Capital Medical University, Beijing, China.
Song HanDepartment of Neurobiology, Capital Medical University, Beijing, China.
Junfa LiDepartment of Neurobiology, Capital Medical University, Beijing, China.
Ying ZhangDepartment of Neurobiology, Capital Medical University, Beijing, China.
Li ZhaoDepartment of Neurobiology, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschemic stroke (IS) is a life-threatening condition with limited treatment options; thus, finding the potential key genes for novel therapeutic targets is urgently needed. This study aimed to explore novel candidate genes and pathways of brain microvessel endothelial cells (ECs) in IS by bioinformatics analysis. MATERIALS AND

methodsThe gene expression profiles of brain tissues or brain ECs in IS mice were downloaded from the online gene expression omnibus (GEO) to obtain the differentially expressed genes (DEGs) by R software. Functional enrichment analyses were used to cluster the functions and signaling pathways of the DEGs, while DEG-associated protein-protein interaction network was performed to identify hub genes. The target microRNAs and competitive endogenous RNA networks of key hub genes were constructed by Cytoscape.

resultsTotally 84 DEGs were obtained from 6 brain tissue samples and 4 brain vascular EC samples both from IS mice in the datasets GSE74052 and GSE137482, with significant enrichment in immune responses, such as immune system processes and T-cell activation. Eight hub genes filtered by Cytoscape were validated by two other GEO datasets, wherein key genes of interest were verified by reverse transcription-polymerase chain reaction using an

conclusionsOur work identified two brain EC-specific expressed genes in IS, namely, AURKA and CENPF, as potential gene targets for IS treatment. In addition, we presented miR-297b-3p/miR-34b-3p-CENPF as the potential RNA regulatory axes to prevent pathogenesis of IS.

Indexed as

Bioinformatics analysisendothelial cellsgene expression omnibus datasetsischemic strokeRNA regulatory pathways

Identifiers

PMID38284111
PMCPMC10821689

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.